Meeting Notes Prompt Formatter
Turns raw meeting notes into a structured prompt with task, context, and output expectations clearly separated — ready to use with an AI assistant.
Overview
Pasting raw meeting notes directly into an AI and asking 'summarise this' produces a summary of what was said, not what was decided. This formatter converts your notes into a structured analysis prompt that tells the AI what to look for, how to handle uncertainty, and what format to use — so the output is actually useful for follow-up.
Workflow
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Paste your notes and what you want from them
Include the raw notes and a short note about what you need — decisions, action items, a summary, or all of the above.
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Open in Prompt Formatter
The formatter separates your notes into task, context, and output sections — giving the AI a clear starting point rather than a wall of unstructured text.
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Check the constraints section
The default constraints tell the AI not to infer decisions or action items that weren't explicit. Adjust if your notes have different conventions.
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Run the prompt with your notes
Paste the formatted prompt into your AI assistant. The output will have clear categories instead of a narrative summary.
Why This Works
- Asking for decisions and action items as separate categories produces more reliable extraction than asking for a 'summary'
- Anti-hallucination constraints reduce fabricated action items — a common failure when notes are ambiguous about who owns what
- The [not specified] convention for missing data is more honest than an invented owner or date, and easier to follow up on
Best for
- Notes that mix discussion with decisions and you need to separate them cleanly
- Meetings where you need to track action item owners and the notes don't always record them
- Notes that will be used as a shared record rather than just a personal reference
Not for
- Notes that are too sparse to extract meaningful decisions from — more context is needed first
- Live transcription during a meeting — format the notes after, not during
Use cases
- Extracting a decision log from a product review meeting with scattered notes
- Turning a customer call transcript into a structured follow-up prompt
- Creating a reliable action item list from notes taken during a fast-paced planning session
- Preparing meeting notes for an AI assistant that will draft a follow-up email